What do marketing leaders use to monitor brand visibility in ChatGPT and Perplexity?

Most marketing teams haven't started tracking this yet. A Goodfirms survey of 100+ SEO and marketing professionals across 20+ countries found that only 14% currently measure AI and LLM citation visibility, even though 43% name AI search optimisation as a core 2026 strategy. The teams that have started aren't building one dashboard for it. They're layering a small number of specific tools on top of what they already use for traditional marketing measurement.

Most marketing teams say AI visibility matters. Most aren't measuring it.

The gap shows up clearly in Goodfirms' breakdown of measurement tools in active use: 70% of respondents still rely on Google Search Console, and 65% use a third-party suite such as Semrush or Ahrefs for traditional visibility. Only 14% track AI and LLM citation visibility specifically, and just 11% monitor branded search volume or share of voice - the metric that would catch someone searching for a brand by name after seeing it mentioned inside a ChatGPT answer. The tools to close that gap exist. Most teams simply haven't added them to the stack yet.

What marketing leaders who do track it actually use

Ela Galanxhi, Marketing Lead at Scopic, described her stack directly in the same survey: "We combine SE Ranking, Pro Rank Tracker, GSC, and GA4 for traditional visibility - then layer in Prompt Monitor and Peec AI for LLM visibility, because that's where a growing share of first-touch discovery now happens." Jonny Nastor, Founder and Head of Strategy at Digital Commerce Partners, runs a similar three-layer setup: traditional organic in GSC, then SERP feature presence, then "LLM visibility: whether our clients are being cited in ChatGPT and Perplexity." Neither treats AI visibility tracking as a replacement for their existing tools. It's a layer added on top.

The two kinds of tools doing the actual tracking

AI visibility bolted onto an existing marketing suite

Ahrefs added Brand Radar to its existing platform, tracking brand mentions across 475 million monthly prompts spanning AI Overviews, AI Mode, ChatGPT, Copilot, Gemini and Perplexity, priced in tiers depending on whether you track a single platform or the full set. Semrush built a comparable AI Visibility Toolkit into its own platform, including a Prompt Research tool for checking specific prompts and a Narrative Drivers tool for seeing which sources are shaping how AI describes a brand. For a team already paying for Ahrefs or Semrush, this is the lowest-friction way to start.

Purpose-built AI visibility platforms

Profound, Otterly.ai and Peec AI are purpose-built for this specifically, not features added onto an existing product. Profound tracks brand mentions across ChatGPT, Gemini, Claude, Perplexity and other major platforms, and adds a weekly feature that flags the highest-impact content gap to work on next. Otterly.ai runs its own citation research across ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini and Copilot, and publishes the findings openly - its LinkedIn and YouTube citation studies are cited elsewhere in this series. Peec AI tracks three specific metrics - visibility, position and sentiment - and distinguishes between a brand mention, where the AI names the brand directly, and a source citation, where the AI used the brand's content without naming it. A tool that only reports the first will miss the second, and the two point to different problems.

What these tools are actually measuring

Across all five, the same handful of metrics keep showing up: how often a brand is mentioned in response to a set of tracked prompts, where it's positioned relative to competitors named in the same answer, whether the sentiment is positive, and whether the brand's own content was used as a source. None of that shows up in Google Search Console or a standard analytics dashboard. ChatGPT's own citation rate has swung by 86 to 94% within two months, and a team relying only on traditional tools has no way to see that happening, let alone respond to it.

What to check before picking one

Platform coverage is the first filter. A tool tracking only ChatGPT misses Perplexity's citation behaviour entirely, and the two platforms don't select sources the same way. Refresh cadence matters next - a tool checking prompts once a month can't catch a citation-rate swing that happens inside a single week. And the source-citation versus brand-mention distinction is worth asking about directly, since a tool that only reports mentions will miss the times a brand's content shaped an answer without being named.

A few common follow-up questions

Do you need a dedicated tool, or can existing marketing software cover this?

If the team already pays for Ahrefs or Semrush, their built-in AI visibility features are a reasonable starting point. A dedicated platform becomes worth the extra cost once tracking needs to go deeper than a handful of prompts, or once sentiment and source-level detail matter as much as raw mention counts.

How often should AI visibility actually be checked?

As often as the tool allows. Citation rates on some platforms have swung by large margins within a single month, so a monthly check risks missing the whole story.

Is 14% adoption likely to stay that low?

Unlikely. The same survey found 43% of respondents already naming AI optimisation a core strategy for 2026, up from close to zero a year earlier. Measurement tends to follow strategy with a lag, not stay behind it indefinitely.